Michael Kohler
Orcid: 0000-0002-9351-9324
According to our database1,
Michael Kohler
authored at least 49 papers
between 2001 and 2023.
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Bibliography
2023
Analysis of Convolutional Neural Network Image Classifiers in a Rotationally Symmetric Model.
IEEE Trans. Inf. Theory, August, 2023
On the rate of convergence of an over-parametrized Transformer classifier learned by gradient descent.
CoRR, 2023
Analysis of the expected L<sub>2</sub> error of an over-parametrized deep neural network estimate learned by gradient descent without regularization.
CoRR, 2023
2022
IEEE Trans. Inf. Theory, 2022
IEEE Trans. Inf. Theory, 2022
Comparison of DVB-T Passive Radar Simulated and Measured Bistatic RCS Values for a Pilatus PC-12 Aircraft.
Sensors, 2022
Analysis of convolutional neural network image classifiers in a rotationally symmetric model.
CoRR, 2022
2020
Statistical Analysis of Bistatic Radar Ground Clutter for Different German Rural Environments.
Sensors, 2020
On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data.
CoRR, 2020
On the rate of convergence of image classifiers based on convolutional neural networks.
CoRR, 2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
2019
IEEE Trans. Inf. Theory, 2019
On the rate of convergence of fully connected very deep neural network regression estimates.
CoRR, 2019
Delay Estimation for Time Synchronization of a Bistatic Transfer Function Measurement Setup to Single Received Pulses.
Proceedings of the Signal Processing: Algorithms, 2019
2018
IEEE Trans. Inf. Theory, 2018
2017
IEEE Trans. Inf. Theory, 2017
J. Multivar. Anal., 2017
2016
IEEE Trans. Inf. Theory, 2016
Commun. Stat. Simul. Comput., 2016
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016
The rates of convergence of neural network estimates of hierarchical interaction regression models.
Proceedings of the IEEE International Symposium on Information Theory, 2016
2015
IEEE Trans. Inf. Theory, 2015
2014
Optimal global rates of convergence for noiseless regression estimation problems with adaptively chosen design.
J. Multivar. Anal., 2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
2013
IEEE Trans. Inf. Theory, 2013
The EHR-ARCHE project: Satisfying clinical information needs in a Shared Electronic Health Record System based on IHE XDS and Archetypes.
Int. J. Medical Informatics, 2013
Estimation of the optimal design of a nonlinear parametric regression problem via Monte Carlo experiments.
Comput. Stat. Data Anal., 2013
Searching for Document Contents in an IHE-XDS EHR Architecture via Archetype-Based Indexing of Document Types.
Proceedings of the MEDINFO 2013, 2013
2012
IEEE Trans. Inf. Theory, 2012
Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data.
Comput. Stat. Data Anal., 2012
An EHR Prototype Using Structured ISO/EN 13606 Documents to Respond to Identified Clinical Information Needs of Diabetes Specialists: A Controlled Study on Feasibility and Impact.
Proceedings of the AMIA 2012, 2012
2011
Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors.
Neural Networks, 2011
The Archetype-Enabled EHR System ZK-ARCHE - Integrating the ISO/EN 13606 Standard and IHE XDS Profile.
Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 2011
Clinical Situations and Information Needs of Physicians During Treatment of Diabetes Mellitus Patients: a Triangulation Study.
Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 2011
Proceedings of the e-Health Across Borders Without Boundaries - E-salus trans confinia sine finibus, 2011
2010
IEEE Trans. Inf. Theory, 2010
An algorithm for the estimation of a regression function by continuous piecewise linear functions.
Comput. Optim. Appl., 2010
2009
IEEE Trans. Inf. Theory, 2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
2008
Automatic recognition of German news focusing on future-directed beliefs and intentions.
Comput. Speech Lang., 2008
2007
On the Rate of Convergence of Local Averaging Plug-In Classification Rules Under a Margin Condition.
IEEE Trans. Inf. Theory, 2007
2005
Rates of convergence for adaptive regression estimates with multiple hidden layer feedforward neural networks.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005
2004
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004
2002
Springer series in statistics, Springer, ISBN: 978-0-387-95441-7, 2002
2001
IEEE Trans. Inf. Theory, 2001